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Mathieson A, Brunton L, Wilson PM. The use of patient and public involvement and engagement in the design and conduct of implementation research: a scoping review. Implement Sci Commun 2025; 6:42. [PMID: 40211415 PMCID: PMC11987400 DOI: 10.1186/s43058-025-00725-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 03/27/2025] [Indexed: 04/13/2025] Open
Abstract
BACKGROUND Most implementation research focuses on understanding and changing health professionals' work practices. While Patient and Public Involvement and Engagement (PPIE) in applied health research is recognised as best practice, and is often a requirement for funders globally, little is known about the role of patients and the public in implementation research. METHODS Guided by Arksey and O'Malley's framework, we conducted a scoping review to categorise PPIE in the design and conduct of implementation research, including how patients and the public have been involved, the reported impact of patient and public involvement, and the reported benefits and challenges to involving patients and the public in implementation research. We searched four databases: MEDLINE, Embase, CINAHL, and SCOPUS. To be included, studies had to report some form of PPIE in the design and conduct of implementation research. Information about each study was extracted using a structured data extraction form. Data was collated and summarised. RESULTS Of the 535 unique records identified, 12 were included. Analysis of the eligible studies found eight different types of PPIE activities. Researchers mostly consulted with patients and members of the public via feedback sessions, committee representation and roundtable discussions. Barriers and enablers were usually researcher related and their attempts to build, maintain, and negotiate relationships with public contributors over time. Resources and financial remuneration were also key. Most studies (n = 7) reported that engaging community members in the design and implementation of community-based programs and trials enhanced cultural appropriateness, and the likelihood of sustainability. However, there was little formal evaluation of the use of PPIE. CONCLUSION This study can be used to design and guide future PPIE in implementation research. Given the inconsistent, and often absent, reporting of PPIE activities and barriers and enablers across the included studies, future studies should describe and evaluate the execution of PPIE in implementation research to advance practices in this field. REGISTRATION The review was registered on Research Registry (reviewregistry1552).
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Affiliation(s)
- Amy Mathieson
- Centre for Primary Care and Health Services Research, The University of Manchester, Williamson Building, Oxford Road, Manchester, M13 9PL, England.
| | - Lisa Brunton
- Centre for Primary Care and Health Services Research, The University of Manchester, Williamson Building, Oxford Road, Manchester, M13 9PL, England
| | - Paul M Wilson
- Centre for Primary Care and Health Services Research, The University of Manchester, Williamson Building, Oxford Road, Manchester, M13 9PL, England
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Seguin-Fowler RA, Graham ML, Demment M, Uribe ALM, Rethorst CD, Szeszulski J. Multilevel Interventions Targeting Obesity: State of the Science and Future Directions. Annu Rev Nutr 2024; 44:357-381. [PMID: 38885446 DOI: 10.1146/annurev-nutr-122123-020340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
A seminal report, released in 2001 by the Institute of Medicine, spurred research on the design, implementation, and evaluation of multilevel interventions targeting obesity and related behaviors. By addressing social and environmental factors that support positive health behavior change, interventions that include multiple levels of influence (e.g., individual, social, structural) aim to bolster effectiveness and, ultimately, public health impact. With more than 20 years of multilevel obesity intervention research to draw from, this review was informed by published reviews (n = 51) and identified intervention trials (n = 103), inclusive of all ages and countries, to elucidate key learnings about the state of the science. This review provides a critical appraisal of the scientific literature related to multilevel obesity interventions and includes a description of their effectiveness on adiposity outcomes and prominent characteristics (e.g., population, setting, levels). Key objectives for future research are recommended to advance innovations to improve population health and reduce obesity.
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Affiliation(s)
- Rebecca A Seguin-Fowler
- Texas A&M Institute for Advancing Health Through Agriculture (IHA), College Station, Texas, USA;
| | - Meredith L Graham
- Texas A&M Institute for Advancing Health Through Agriculture (IHA), College Station, Texas, USA;
| | - Margaret Demment
- Texas A&M Institute for Advancing Health Through Agriculture (IHA), College Station, Texas, USA;
| | | | - Chad D Rethorst
- Texas A&M Institute for Advancing Health Through Agriculture (IHA), College Station, Texas, USA;
| | - Jacob Szeszulski
- Texas A&M Institute for Advancing Health Through Agriculture (IHA), College Station, Texas, USA;
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Wangen M, Escoffery C, Fernandez ME, Friedman DB, Hannon P, Ko LK, Maxwell AE, Petagna C, Risendal B, Rohweder C, Leeman J. Twenty years of capacity building across the cancer prevention and control research network. Cancer Causes Control 2023; 34:45-56. [PMID: 37067700 PMCID: PMC10106885 DOI: 10.1007/s10552-023-01690-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 03/29/2023] [Indexed: 04/18/2023]
Abstract
PURPOSE To improve population health, community members need capacity (i.e., knowledge, skills, and tools) to select and implement evidence-based interventions (EBIs) to fit the needs of their local settings. Since 2002, the Centers for Disease Control and Prevention has funded the national Cancer Prevention and Control Research Network (CPCRN) to accelerate the implementation of cancer prevention and control EBIs in communities. The CPCRN has developed multiple strategies to build community members' capacity to implement EBIs. This paper describes the history of CPCRN's experience developing and lessons learned through the use of five capacity-building strategies: (1) mini-grant programs, (2) training, (3) online tools, (4) evidence academies, and (5) evaluation support for partners' capacity-building initiatives. METHODS We conducted a narrative review of peer-reviewed publications and grey literature reports on CPCRN capacity-building activities. Guided by the Interactive Systems Framework, we developed histories, case studies, and lessons learned for each strategy. Lessons were organized into themes. RESULTS Three themes emerged: the importance of (1) community-engagement prior to and during implementation of capacity-building strategies, (2) establishing and sustaining partnerships, and (3) co-learning at the levels of centers, networks, and beyond. CONCLUSION CPCRN activities have increased the ability of community organizations to compete for external funds to support implementation, increased the use of evidence in real-world settings, and promoted the broad-scale implementation of cancer control interventions across more than eight states. Lessons from this narrative review highlight the value of long-term thematic networks and provide useful guidance to other research networks and future capacity-building efforts.
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Affiliation(s)
- Mary Wangen
- Center for Health Promotion and Disease Prevention, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Cam Escoffery
- Rollins School of Public Health, Department of Behavioral Sciences and Health Education, Emory University, Atlanta, GA, USA
| | - Maria E Fernandez
- School of Public Health, The University of Texas Health Science Center at Houston, Health Promotion and Behavioral Sciences, Houston, TX, USA
| | - Daniela B Friedman
- Department of Health Promotion, Education, and Behavior, University of South Carolina, Arnold School of Public Health, Columbia, SC, USA
| | - Peggy Hannon
- School of Public Health, Health Promotion Research Center, The University of Washington, Seattle, WA, USA
| | - Linda K Ko
- School of Public Health, Health Promotion Research Center, The University of Washington, Seattle, WA, USA
| | - Annette E Maxwell
- Los Angeles, Fielding School of Public Health and Jonsson, Comprehensive Cancer Center, Health Policy and Management, The University of California, Los Angeles, CA, USA
| | - Courtney Petagna
- Rollins School of Public Health, Department of Behavioral Sciences and Health Education, Emory University, Atlanta, GA, USA
| | - Betsy Risendal
- Colorado School of Public Health, Department of Community & Behavioral Health, The University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Catherine Rohweder
- Center for Health Promotion and Disease Prevention, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jennifer Leeman
- School of Nursing, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Walker TJ, Foster M, Szeszulski J, Craig DW, Mullen PD, Fernández ME. Evidence-Based Intervention (EBI) Mapping: a systematic approach to understanding the components and logic of EBIs. BMC Public Health 2022; 22:1300. [PMID: 35794615 PMCID: PMC9261043 DOI: 10.1186/s12889-022-13692-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 06/14/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Despite the development of numerous evidence-based interventions (EBIs), many go unused in practice. Hesitations to use existing EBIs may be due to a lack of understanding about EBI components and what it would take to adapt it or implement it as designed. To improve the use of EBIs, program planners need to understand their goals, core components, and mechanisms of action. This paper presents EBI Mapping, a systematic approach based on Intervention Mapping, that can be used to understand and clearly describe EBIs, and help planners put them into practice. METHODS We describe EBI Mapping tasks and provide an example of the process. EBI Mapping uses principles from Intervention Mapping, a systematic framework for planning multilevel health promotion interventions. EBI Mapping applies the Intervention Mapping steps retrospectively to help planners understand an existing EBI (rather than plan a new one). We explain each EBI Mapping task and demonstrate the process using the VERB Summer Scorecard (VSS), a multi-level community-based intervention to improve youth physical activity. RESULTS EBI Mapping tasks are: 1) document EBI materials and activities, and their audiences, 2) identify the EBI goals, content, and mechanisms of action, 3) identify the theoretical change methods and practical applications of those methods, 4) describe design features and delivery channels, and 5) describe the implementers and their tasks, implementation strategies, and needed resources. By applying the EBI Mapping tasks, we created a logic model for the VSS intervention. The VSS logic model specifies the links between behavior change methods, practical applications, and determinants for both the at-risk population and environmental change agents. The logic model also links the respective determinants to the desired outcomes including the health behavior and environmental conditions to improve the health outcome in the at-risk population. CONCLUSIONS EBI Mapping helps program planners understand the components and logic of an EBI. This information is important for selecting, adapting, and scaling-up EBIs. Accelerating and improving the use of existing EBIs can reduce the research-to-practice gap and improve population health.
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Affiliation(s)
- Timothy J Walker
- Department of Health Promotion & Behavioral Sciences, Center for Health Promotion and Prevention Research, University of Texas Health Science Center at Houston School of Public Health, Houston, 7000 Fannin St., TX, 77030, USA.
| | - Maya Foster
- Department of Health Promotion & Behavioral Sciences, Center for Health Promotion and Prevention Research, University of Texas Health Science Center at Houston School of Public Health, Houston, 7000 Fannin St., TX, 77030, USA
| | - Jacob Szeszulski
- Department of Health Promotion & Behavioral Sciences, Center for Health Promotion and Prevention Research, Michael & Susan Dell Center for Healthy Living, University of Texas Health Science Center at Houston School of Public Health, 7000 Fannin St., Houston, TX, 77030, USA
| | - Derek W Craig
- Department of Health Promotion & Behavioral Sciences, Center for Health Promotion and Prevention Research, University of Texas Health Science Center at Houston School of Public Health, Houston, 7000 Fannin St., TX, 77030, USA
| | - Patricia Dolan Mullen
- Department of Health Promotion & Behavioral Sciences, Center for Health Promotion and Prevention Research, University of Texas Health Science Center at Houston School of Public Health, Houston, 7000 Fannin St., TX, 77030, USA
| | - Maria E Fernández
- Department of Health Promotion & Behavioral Sciences, Center for Health Promotion and Prevention Research, University of Texas Health Science Center at Houston School of Public Health, Houston, 7000 Fannin St., TX, 77030, USA
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